METHODS: The three hundred participants comprised 152 opioid naive subjects and 148 opioid dependent patients. Opioid naive subjects had not taken any opioids including morphine and methadone to their best knowledge and were presumed so after two consecutive negative urine screenings for drugs. All opioid dependent patients were stabilized in treatment, defined as having been enrolled in the program for more than one month with no change of methadone dosage over the past one month. Excluded from the study were individuals with chronic or ongoing acute pain and individuals with a history of analgesics ingestion within 3 d before the cold pressor test (CPT). Pain tolerance to CPT was evaluated at 0 h, and at 2, 4, 8, 12, and 24 h post-methadone dose.

RESULTS: Patients exhibited a significantly shorter mean pain tolerance time of 34.17 s (95% CI 24.86, 43.49) versus 61.36 (52.23, 70.48) [p < 0.001] compared with opioid naive subjects. Time-dependent mean pain tolerance was also significantly different when naive subjects were compared to patients (p = 0.016).

METHODS: The cold pressor pain responses of 148 opioid dependent patients receiving MMT were evaluated using the cold pressor test (CPT). DNA was extracted from whole blood and subjected to polymerase chain reaction (PCR)-genotyping.

RESULTS: Of the 148 subjects, 77 (52.0%) were carriers of CYP2B6*6 allele. CYP2B6*6 allele carriers had shorter cold pain threshold and pain tolerance times than non-carriers of CYP2B6*6 allele (21.05s vs 33.69s, p=0.036 and 27.15s vs 44.51s, p=0.020, respectively). Pain intensity scores of the CYP2B6*6 allele carriers was 67.55, whereas that of the CYP2B6*6 allele non-carriers was 64.86 (p=0.352).

Materials and Methods: Patients with opioid dependence (n = 148) were recruited from MMT clinics. Pain sensitivity, severity of the opiate withdrawal syndrome, and sleep quality were assessed using cold pressor test (CPT), Subjective Opiate Withdrawal Scale (SOWS-M), and Pittsburgh Sleep Quality Index (PSQI)-Malay, respectively. Deoxyribonucleic acid (DNA) was extracted from whole blood, and then was used for genotyping of Val96Ala, Leu141Leu, Val154Ile, Pro310Ser, Ser311Cys, TaqI A, -141C Ins/Del, and A-241G polymorphisms.

Results: Among 148 patients, 8.1% (n = 12), 60.8% (n = 90), 27.7% (n = 41), and 29.1% (n = 43) had at least one risk allele for Ser311Cys, TaqI A, -141C Ins/Del, and A-241G polymorphisms, respectively. There were no significant differences in pain responses (pain threshold, tolerance, and intensity), SOWS, and PSQI scores between DRD2 polymorphisms.

MATERIALS AND METHODS: Participants comprised Malay male opioid-naive subjects (n = 159) and opioid-dependent patients (n = 160) from MMT clinics in Kelantan, Malaysia, between March and October 2013. Sleep quality was evaluated using the translated and validated Malay version of the Pittsburgh Sleep Quality Index (PSQI).

RESULTS: The opioid-dependent patients exhibited higher global PSQI scores [adjusted mean (95% CI) = 5.46 (5.02, 5.90)] than the opioid-naive group [4.71 (4.26, 5.15)] [F (1, 313) = 4.77, P = 0.030].

AIM: We conducted a meta-analysis to evaluate the prevalence of sexual dysfunction among male patients on methadone and buprenorphine treatments.

METHODS: Relevant studies published from inception until December 2012 were identified by searching PubMed, OVID, and Embase. Studies were selected using prior defined criteria. Heterogeneity, publication bias, and odds ratio were assessed thoroughly.

MAIN OUTCOME MEASURES: To examine the prevalence and odds ratio of sexual dysfunctions among the methadone and buprenorphine groups.

RESULTS: A total of 1,570 participants from 16 eligible studies were identified in this meta-analysis. The studies provided prevalence estimates for sexual dysfunction among methadone users with a meta-analytical pooled prevalence of 52% (95% confidence interval [CI], 0.39-0.65). Only four studies compared sexual dysfunction between the two groups, with a significantly higher combined odds ratio in the methadone group (OR = 4.01, 95% CI, 1.52-10.55, P = 0.0049).

AIM: To assess plasma testosterone and sexual function in Southeast Asian men on methadone maintenance treatment (MMT) or buprenorphine maintenance treatment (BMT).

METHODS: 76 sexually active men on MMT (mean age = 43.30 ± 10.32 years) and 31 men on BMT (mean age = 41.87 ± 9.76 years) from a Southeast Asian community were evaluated using plasma total testosterone (TT) and prolactin levels, body mass index, social demographics, substance use measures, and depression severity scale.

OUTCOMES: Prevalence and associated factors of TT level lower than the reference range in men on MMT or BMT.

RESULTS: More than 1 third of men (40.8%, n = 31) on MMT had TT levels lower than the reference range, whereas 1 fourth of men (22.6%, n = 7) on BMT did. At univariate analysis, MMT vs BMT (β = 0.298, adjusted R2 = 0.08, P = .02) and body mass index (β = -0.23, adjusted R2 = 0.12, P = .02) were associated with changes in TT after stepwise regression. There were no significant associations with age; Opiate Treatment Index Q scores for alcohol, heroin, stimulant, tobacco, or cannabis use and social functioning domain; education levels; hepatitis C status; and severity of depression. Prolactin level did not differ between the MMT and BMT groups.

CLINICAL IMPLICATIONS: The sex hormonal assay should be used regularly to check men on MMT.

STRENGTHS AND LIMITATIONS: This is the first study conducted in the Southeast Asian community. Our study was limited by the lack of a healthy group as the reference for serum levels of testosterone and prolactin.

METHODS: Thirty HIV-infected prisoners meeting DSM-IV pre-incarceration criteria for opioid dependence were enrolled in a prison-based, pre-release MMT program in Klang Valley, Malaysia; 3 died before release from prison leaving 27 evaluable participants. Beginning 4 months before release, standardized methadone initiation and dose escalation procedures began with 5mg daily for the first week and 5mg/daily increases weekly until 80 mg/day or craving was satisfied. Participants were followed for 12 months post-release at a MMT clinic within 25 kilometers of the prison. Kaplan-Meier survival analysis was used to evaluate the impact of methadone dose on post-release retention in treatment.

FINDINGS: Methadone dose ≥80 mg/day at the time of release was significantly associated with retention in treatment. After 12 months of release, only 21.4% of participants on <80 mg were retained at 12 months compared to 61.5% of those on ≥80 mg (Log Rank χ(2)=(1,26) 7.6, p<0.01).

METHODS: We did a parallel, two-arm, prospective observational study of opioid-dependent individuals aged 18 years and older who were treated in Malaysia in the Klang Valley in two settings: CDDCs and VTCs. We used sequential sampling to recruit individuals. Assessed individuals in CDDCs were required to participate in services such as counselling sessions and manual labour. Assessed individuals in VTCs could voluntarily access many of the components available in CDDCs, in addition to methadone therapy. We undertook urinary drug tests and behavioural interviews to assess individuals at baseline and at 1, 3, 6, 9, and 12 months post-release. The primary outcome was time to opioid relapse post-release in the community confirmed by urinary drug testing in individuals who had undergone baseline interviewing and at least one urine drug test (our analytic sample). Relapse rates between the groups were compared using time-to-event methods. This study is registered at ClinicalTrials.gov (NCT02698098).

FINDINGS: Between July 17, 2012, and August 21, 2014, we screened 168 CDDC attendees and 113 VTC inpatients; of these, 89 from CDDCs and 95 from VTCs were included in our analytic sample. The baseline characteristics of the two groups were similar. In unadjusted analyses, CDDC participants had significantly more rapid relapse to opioid use post-release compared with VTC participants (median time to relapse 31 days [IQR 26-32] vs 352 days [256-unestimable], log rank test, p<0·0001). VTC participants had an 84% (95% CI 75-90) decreased risk of opioid relapse after adjustment for control variables and inverse propensity of treatment weights. Time-varying effect modelling revealed the largest hazard ratio reduction, at 91% (95% CI 83-96), occurs during the first 50 days in the community.

INTERPRETATION: Opioid-dependent individuals in CDDCs are significantly more likely to relapse to opioid use after release, and sooner, than those treated with evidence-based treatments such as methadone, suggesting that CDDCs have no role in the treatment of opioid-use disorders.

METHODS: We conducted this systematic review according to Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). Various databases were searched for CPGs and Appraisal of Guidelines for Research and Evaluation (AGREE-II) instrument was used to assess the methodological quality. We also summarized the treatments plans of CPGs across continuum of care (diagnosis and assessment, treatment initiation, pharmacotherapy and psychosocial).